As we move into the season where we need to put out these results, we need to expand the validation model to have an interactive component that lets a district rerun their optimization with varying parameters.
Customizations:
Change the anticipated increase in participation rate by school
Add participation rate actual data (this is not public data)
Select only a subset of schools to run the optimization for
The plan would be to have a "tune" panel of the district page that shows you all the schools with a checkbox to enable/disable that school in the optimization, as well as an input field for actual participation numbers for breakfast and lunch, as well as input fields for anticipated increase for breakfast and lunch.
Technical approach is probably to build a Flask app that can wrap the model classes and run the optimizations. Currently this does not need to be a public facing tool, as it most likely is going to be used internally as a way for specialists (brigades, advocates, and district administrators) to tune their tool.
As we move into the season where we need to put out these results, we need to expand the validation model to have an interactive component that lets a district rerun their optimization with varying parameters.
Customizations:
The plan would be to have a "tune" panel of the district page that shows you all the schools with a checkbox to enable/disable that school in the optimization, as well as an input field for actual participation numbers for breakfast and lunch, as well as input fields for anticipated increase for breakfast and lunch.
Technical approach is probably to build a Flask app that can wrap the model classes and run the optimizations. Currently this does not need to be a public facing tool, as it most likely is going to be used internally as a way for specialists (brigades, advocates, and district administrators) to tune their tool.